Mining Forecast Analyst

Career Area:

Finance

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live.

Together, we are building a better world, so we can all enjoy living in it.

Caterpillar’s Central Forecasting team is seeking a Mining Forecast Analyst to support global Resource Industries forecasting. This role plays a key part in developing, analyzing, and communicating forecasts that influence business planning and decision‑making across the organization.

As an individual contributor, you will leverage economic insight, statistical methodologies, and data analytics tools to develop forecasts across Sales to Users, Dealer Inventory, Commercial Shipments, and Industry demand. You will partner closely with business stakeholders to translate data into actionable insights and effectively communicate findings to leadership.

• Monitor economic trends and market conditions impacting Mining, Quarrying, and Resource Industries
• Develop forecasts for:
  • Monthly Sales & Operations Planning (S&OP)
  • Long Term Forecast (LTF)
  • Annual Business Planning (ABP)
• Track Sales to User, Shipment, and Order activity, analyzing variances and identifying forecast risks
• Develop and maintain forecasting models using statistical and economic methodologies
• Utilize tools such as Power BI, Excel, and data platforms to build reports, visualize trends, and communicate insights
• Translate complex data into clear, actionable insights to support business decisions
• Partner with business teams to align forecasts and communicate findings to leadership audiences
• Prepare and deliver reports through presentations, written analysis, and meetings
• Support ad hoc analysis and forecasting requests as needed

• Strong foundation in economic analysis, statistical modeling, or quantitative forecasting
• Ability to analyze trends and develop data-driven forecasts and scenarios

• Experience with Power BI, Excel
  , and data analysis tools
• Exposure to Python or similar analytical tools is a plus

• Ability to effectively communicate complex information to a broad set of stakeholders, including leadership
• Experience translating analysis into insights and recommendations

• Master’s degree Economics, Finance, Data Analytics, Mathematics
  , or a related field.

• Experience in statistical forecasting or sales and operations planning (S&OP)
• Ability to identify patterns, trends, and gaps in complex datasets
• Experience presenting analytical insights to leadership audiences
• Exposure to mining, construction, or industrial markets
• Experience using Power BI or similar visualization tools

• Location:
  
  Peoria, IL
• Work Arrangement: 5 days per week onsite

$97,530.00 - $

Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.

Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.

• Medical, dental, and vision benefits*
• Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
• 401(k) savings plans*
• Health Savings Account (HSA)*
• Flexible Spending Accounts (FSAs)*
• Health Lifestyle Programs*
• Employee Assistance Program*
• Voluntary Benefits and Employee Discounts*
• Career Development*
• Incentive bonus*
• Disability benefits
• Life Insurance
• Parental leave
• Adoption benefits
• Tuition Reimbursement

* These benefits also apply to part-time employees

June 2, 2026 - June 16, 2026

Any offer of employment is conditioned upon the successful completion of a drug screen.

Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.